Mentor Areas
Most recently, I worked with a Penn undergraduate to train a deep reinforcement agent to bargain optimally on eBay.
Description:
Working on a variety of projects at the intersection of economics and machine learning, and always interested in working with talented and motivated students. I work with talented students to find mutually interesting projects, which we work on as (ideally, coequal) coauthors.
Preferred Qualifications
A top grade in CIS 520 (or equivalent course). No economics background required.
Details:
Preferred Student Year
First-year, Second-Year, Junior, Senior
Volunteer
Yes
Yes indicates that faculty are open to volunteers.Paid
Yes
Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.Work Study
Yes
Yes indicates that faculty are open to hiring work-study-eligible students.